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In this paper we present a unified framework for modeling multi-relational representations, scoring, and learning, and conduct an empirical study of several recent multi-relational embedding models under the framework. We investigate the…

Computation and Language · Computer Science 2014-11-18 Bishan Yang , Wen-tau Yih , Xiaodong He , Jianfeng Gao , Li Deng

We propose an approach to image processing related to algebraic operators acting in the space of images. In view of the interest in the applications in optics and computer science, mathematical aspects of the paper have been simplified as…

Image and Video Processing · Electrical Eng. & Systems 2017-10-13 Enrico Celeghini

In this paper, we propose to consider various models of pattern recognition. At the same time, it is proposed to consider models in the form of two operators: a recognizing operator and a decision rule. Algebraic operations are introduced…

Computer Vision and Pattern Recognition · Computer Science 2024-02-14 Anvar Kabulov , Alimdzhan Babadzhanov , Islambek Saymanov

We study the problem of modeling a binary operation that satisfies some algebraic requirements. We first construct a neural network architecture for Abelian group operations and derive a universal approximation property. Then, we extend it…

Machine Learning · Computer Science 2021-02-25 Kenshin Abe , Takanori Maehara , Issei Sato

Hypergroups are lifted to power semigroups with negation, yielding a method of transferring results from semigroup theory. This applies to analogous structures such as hypergroups, hyperfields, and hypermodules, and permits us to transfer…

Group Theory · Mathematics 2016-04-13 Louis Rowen

Some connections between operator theory and wavelet analysis: Since the mid eighties, it has become clear that key tools in wavelet analysis rely crucially on operator theory. While isolated variations of wavelets, and wavelet…

Classical Analysis and ODEs · Mathematics 2007-05-23 Palle E. T. Jorgensen

Model merging enables powerful capabilities in neural networks without requiring additional training. In this paper, we introduce a novel perspective on model merging by leveraging the fundamental mechanisms of neural network…

Machine Learning · Computer Science 2025-09-19 Haiquan Qiu , You Wu , Dong Li , Jianmin Guo , Quanming Yao

An algebraic technique adapted to the problems of the fundamental theoretical physics is presented. The exposition is an elaboration and an extension of the methods proposed in previous works by the aut

Rings and Algebras · Mathematics 2018-03-14 Victor Zharinov

The ultrapower theorem of Keisler-Shelah allows such model-theoretic notions as elementary equivalence, elementary embedding and existential embedding to be couched in the language of categories (limits, morphism diagrams). This in turn…

Logic · Mathematics 2008-02-03 Paul Bankston

By using methods of umbral nature, we discuss new rules concerning the operator ordering. We apply the technique of formal power series to take advantage from the wealth of properties of the exponential operators. The usefulness of the…

Mathematical Physics · Physics 2011-12-08 D. Babusci , G. Dattoli

We review "quantum" invariants of closed oriented 3-dimensional manifolds arising from operator algebras.

Operator Algebras · Mathematics 2015-06-26 Yasuyuki Kawahigashi

We investigate an operator ordering problem in two-dimensional N=1 supersymmetric model which consists of n real superfields. There arises an operator ordering problem when the target space is curved. We have to fix the ordering in quantum…

High Energy Physics - Theory · Physics 2008-11-26 Nobuyuki Motoyui , Mitsuru Yamada

In this paper, we present the basic concepts of the geometric theory of composition operators on Sobolev spaces. The main objects of the theory are topological mappings which generate bounded embedding operators on Sobolev spaces by the…

Analysis of PDEs · Mathematics 2024-11-21 Vladimir Gol'dshtein , Alexander Ukhlov

We introduce the notion of irregular vertex (operator) algebras. The irregular versions of fundamental properties, such as Goddard uniqueness theorem, associativity and operator product expansions are formulated and proved. We also give…

Quantum Algebra · Mathematics 2019-08-08 Akishi Ikeda , Yota Shamoto

We study the holomorphic twist of 3d N = 2 supersymmetric field theories, discuss the perturbative bulk local operators in general, and explicitly construct non perturbative bulk local operators for abelian gauge theories. Our construction…

High Energy Physics - Theory · Physics 2023-06-14 Keyou Zeng

In many applications of interacting systems, we are only interested in the dynamic behavior of a subset of all possible active species. For example, this is true in combustion models (many transient chemical species are not of interest in a…

Computational Engineering, Finance, and Science · Computer Science 2019-10-21 Rebecca E Morrison

We present some general theorems about operator algebras that are algebras of functions on sets, including theories of local algebras, residually finite dimensional operator algebras and algebras that can be represented as the scalar…

Operator Algebras · Mathematics 2009-07-30 Meghna Mittal , Vern Paulsen

We develop deformation theory of algebras over quadratic operads where the parameter space is a commutative local algebra. We also give a construction of a distinguised deformation of an algebra over a quadratic operad with a complete local…

K-Theory and Homology · Mathematics 2013-11-08 Alice Fialowski , Goutam Mukherjee , Anita Naolekar

Supersymmetry might be broken, in the real world, by anomalies that affect composite operators, while leaving the action supersymmetric. New constraint equations that govern the composite operators and their anomalies are examined. It is…

High Energy Physics - Theory · Physics 2007-05-23 John Dixon

This paper addresses inverse problems (in a broad sense) for two classes of multivariate neural network (NN) operators, with particular emphasis on saturation results, and both analytical and semi-analytical inverse theorems. One of the key…

Functional Analysis · Mathematics 2025-05-13 Danilo Costarelli